Musical Instrument Categorization using Spectral- and Cepstral Analysis
This thesis suggests and tests two methods for categorizing instruments in a musical signal. The first method involves spectral analysis and the magnitude spectrum, analysing the structure of pitches and overtones and how the amplitude of those changes over time. The second method involves cepstrum analysis and especially the, for speech recognition popular method computing the Mel Frequency Cepst
